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The spin-partitioned total position-spread tensor: An application to Heisenberg spin chains
Edoardo Fertitta1, Muammar El Khatib2, Gian Luigi Bendazzoli3
1Institut für Chemie und Biochemie, Freie Universität Berlin, Takustr. 3, 14195 Berlin, Germany.
Researchers analyzed the spin-partitioned Total Position-Spread (SP-TPS) tensor in Heisenberg chains. Its growth rate reveals energy gaps, with gapped systems showing linear growth and gapless systems diverging.
Area of Science:
- Condensed Matter Physics
- Quantum Mechanics
- Statistical Mechanics
Background:
- The Total Position-Spread (TPS) tensor is a key observable in quantum systems.
- Understanding its behavior in one-dimensional Heisenberg chains is crucial for characterizing magnetic properties.
Purpose of the Study:
- To investigate the spin partition of the TPS tensor in one-dimensional Heisenberg chains.
- To correlate the behavior of the spin-partitioned TPS (SP-TPS) tensor with the presence or absence of energy gaps.
Main Methods:
- Performed spin partition of the TPS tensor for Heisenberg chains with open boundary conditions.
- Considered both ferromagnetic (high-spin) and anti-ferromagnetic (low-spin) ground states.
- Analyzed the effect of alternating magnetic couplings on spin-pairing in low-spin states.
Main Results:
- The SP-TPS tensor's growth with the number of sites is linked to the energy gap.
- A gapped energy spectrum corresponds to linear growth of the SP-TPS tensor.
- Gapless systems exhibit faster-than-linear growth, leading to divergence of the per-site SP-TPS value.
- Derived an analytical expression for SP-TPS dependence on system size and total spin projection for high-spin states.
Conclusions:
- The SP-TPS tensor serves as an indicator of the energy gap in one-dimensional Heisenberg chains.
- The study provides insights into the relationship between spin correlations, system size, and spectral properties.
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